Identification

PhytoHub ID
PHUB000070
Name
Nerol
Systematic Name
Not Available
Synonyms
Not Available
CAS Number
Not Available
Average Mass
154.253
Monoisotopic Mass
154.1357652
Chemical Formula
C10H18O
IUPAC Name
(2Z)-3,7-dimethylocta-2,6-dien-1-ol
InChI Key
GLZPCOQZEFWAFX-YFHOEESVSA-N
InChI Identifier
InChI=1S/C10H18O/c1-9(2)5-4-6-10(3)7-8-11/h5,7,11H,4,6,8H2,1-3H3/b10-7-
SMILES
CC(C)=CCC\C(C)=C/CO
Structure

Calculated Properties

Solubility (ALOGPS)
1.37e+00 g/l
LogS (ALOGPS)
-2.05
LogP (ALOGPS)
2.89
Hydrogen Acceptors
1
Hydrogen Donors
1
Rotatable Bond Count
4
Polar Surface Area
20.23
Refractivity
51.1821
Polarizability
19.273539837836147
Formal Charge
0
Physiological Charge
0
pKa (strongest basic)
-2.2170474067293595
pKa (strongest acidic)
16.330024218725743
Number of Rings
0
Rule of Five
Yes
Bioavailability
Yes
Ghose Filter
No
Veber's Rule
Yes
MDDR-like Rule
No

Taxonomy as Food Phytochemical

Family
Terpenoids
Class
Monoterpenoids
Sub-class
Not Available

Classyfire Taxonomy

Kingdom Name
Organic compounds
Class
Prenol lipids
Super-class
Lipids and lipid-like molecules
Sub-class
Monoterpenoids
Direct Parent Name
Acyclic monoterpenoids
Alternative Parent Names
["Fatty alcohols", "Hydrocarbon derivatives", "Primary alcohols"]
External Descriptor Annotations
["3,7-dimethylocta-2,6-dien-1-ol", "Acyclic monoterpenoids", "Linear monoterpenes"]
Substituent Names
["Acyclic monoterpenoid", "Alcohol", "Aliphatic acyclic compound", "Fatty acyl", "Fatty alcohol", "Hydrocarbon derivative", "Organic oxygen compound", "Organooxygen compound", "Primary alcohol"]

Spectra from Phytohub

Spectrum TypeInstrument TypeTechnologyIon ModeCollision EnergyView
GC-MSEI-Binstrument=HITACHI RMU-6MpositiveNot AvailableView Spectrum
GC-MSEI-Binstrument=HITACHI RMU-6MpositiveNot AvailableView Spectrum
GC-MSEI-Binstrument=HITACHI RMU-6MpositiveNot AvailableView Spectrum
GC-MSEI-Binstrument=SHIMADZU QP-1000positiveNot AvailableView Spectrum
GC-MSEI-Binstrument=HITACHI M-80BpositiveNot AvailableView Spectrum
GC-MSEI-Binstrument=HITACHI RMU-6MpositiveNot AvailableView Spectrum
GC-MSEI-Binstrument=HITACHI RMU-6MpositiveNot AvailableView Spectrum
GC-MSEI-Binstrument=HITACHI RMU-6MpositiveNot AvailableView Spectrum
GC-MSEI-Binstrument=SHIMADZU QP-1000positiveNot AvailableView Spectrum
GC-MSEI-Binstrument=HITACHI M-80BpositiveNot AvailableView Spectrum
GC-MSGC-EI-QCollected by Yilin Wang May 2020 for CannabisDB, instrument= Agilent 7890B GC, Agilent 5977A MSDPositiveNot AvailableView Spectrum
Predicted GC-MSGC-MSPredicted by CFMID-EI, energy0PositiveNot AvailableView Spectrum
Predicted GC-MSGC-MSPredicted by CFMID-EI, Ionization energy 70 eV fully TMS-derivatized (structure: CC(C)=CCC/C(C)=C\CO[Si](C)(C)C)PositiveNot AvailableView Spectrum
Predicted GC-MSGC-MSPredicted by CFMID-EI, energy0EiNot AvailableView Spectrum
LC-MS/MSQuattro_QQQdelivery=Flow_Injection analyzer=Triple_QuadPositive10VView Spectrum
LC-MS/MSQuattro_QQQdelivery=Flow_Injection analyzer=Triple_QuadPositive25VView Spectrum
LC-MS/MSQuattro_QQQdelivery=Flow_Injection analyzer=Triple_QuadPositive40VView Spectrum
LC-MS/MSEI-B (HITACHI RMU-6M)Not AvailablePositiveVView Spectrum
LC-MS/MSEI-B (HITACHI RMU-6M)Not AvailablePositiveVView Spectrum
LC-MS/MSEI-B (HITACHI RMU-6M)Not AvailablePositiveVView Spectrum
LC-MS/MSEI-B (SHIMADZU QP-1000)Not AvailablePositiveVView Spectrum
LC-MS/MSEI-B (HITACHI M-80B)Not AvailablePositiveVView Spectrum
LC-MS/MSn/aadduct_type [M-H-H2O]- original_collision_energy 35 % nominal CannabisDB spectra from NIST14 2020 June Thermo Finnigan LTQnegative10VView Spectrum
LC-MS/MSLC-ESI-QFTThermo Fisher Scientific Q-Exactive HFNegative35VView Spectrum
LC-MS/MSLC-ESI-QFTThermo Fisher Scientific Q-Exactive HFPositive35VView Spectrum
LC-MS/MSLC-ESI-QFTThermo Fisher Scientific Q-Exactive HFPositive45VView Spectrum
LC-MS/MSLC-ESI-QFTThermo Fisher Scientific Q-Exactive HFPositive65VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-IDPositive10VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-IDPositive20VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-IDPositive40VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-IDNegative10VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-IDNegative20VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-IDNegative40VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-ID 4.0Positive10VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-ID 4.0Positive20VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-ID 4.0Positive40VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-ID 4.0Negative10VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-ID 4.0Negative20VView Spectrum
Predicted LC-MS/MSNot AvailablePredicted by CFM-ID 4.0Negative40VView Spectrum

Food Sources

NameGroup
GrapeFruit, Berries PublicationsShow
Grape wineBeverages, Alcoholic PublicationsShow

Role as Biomarker of intake

No roles as Biomarker of intake found

Metabolism

No metabolism information available

Inter-Individual Variations in Metabolism

No data on inter-individual variations available

Back